inference_transform bugfix
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@@ -187,7 +187,6 @@ def train_transform(images: List[Image.Image]) -> List[torch.Tensor]:
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def inference_transform(images: List[np.ndarray]) -> List[torch.Tensor]:
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assert IMG_CHANNELS == 1 , "Only support grayscale images for now"
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images = [np.array(img.convert('RGB')) for img in images]
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# 裁剪掉白边
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images = [trim_white_border(image) for image in images]
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# general transform pipeline
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@@ -1,9 +1,9 @@
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#!/usr/bin/env bash
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set -exu
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export CHECKPOINT_DIR="default"
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export TOKENIZER_DIR="default"
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export USE_CUDA=False # True or False (case-sensitive)
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export NUM_BEAM=1
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export CHECKPOINT_DIR="/home/lhy/code/TexTeller/src/models/ocr_model/model/ckpt"
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export TOKENIZER_DIR="/home/lhy/code/TexTeller/src/models/tokenizer/roberta-tokenizer-7Mformulas"
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export USE_CUDA=True # True or False (case-sensitive)
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export NUM_BEAM=3
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streamlit run web.py
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